iPhone 16 Pro Max
Geekbench AI Score
4570
Single Precision Score
7795
Half Precision Score
6220
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 09:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.5 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9147
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18667
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15803
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2201
174.6 IPS |
|
|
Object Detection (HP)
|
97% |
3825
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7562
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4285
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7950
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14397
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10084
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24556
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37607
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31165
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5627
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4868
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3800
65.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7020
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7023
121.4 IPS |
